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Kim, Yukyoum; Lee, J. Lucy – Measurement in Physical Education and Exercise Science, 2019
The purposes of this manuscript are to identify common statistical mistakes in sport management, and to provide scholars with suggestions on how to develop and improve the quality of quantitative research. We have reviewed articles published from 2001 to 2017 in the "Journal of Sport Management," "Sport Management Review,"…
Descriptors: Athletics, Research, Research Problems, Statistical Analysis
Miller, Andrew – Journal of Teaching in Physical Education, 2015
The purpose of this systematic review was to investigate the weight of scientific evidence regarding student outcomes (physical, cognitive and affective) of a Game Centered Approach (GCA) when the quality of a study was taken into account in the interpretation of collective findings. A systematic search of five electronic databases (Sports…
Descriptors: Teaching Methods, Literature Reviews, Educational Games, Children
Kennedy, Charlotte A. – 2002
The use of and emphasis on statistical significance testing has pervaded educational and behavioral research for many decades in spite of criticism by prominent researchers in this field. Much of the controversy is caused by lack of understanding or misinterpretations. This paper reviews criticisms of statistical significance testing and discusses…
Descriptors: Educational Research, Hypothesis Testing, Research Methodology, Sampling

Hiller, Dana V.; Philliber, William W. – Journal of Marriage and the Family, 1985
A review of articles that report study results based on couple samples indicated response rates are rarely high enough for statistical inference. Four procedures that can be used to compensate for insufficient response rates (collecting information from nonparticipants, census comparisons, adjustment in analysis, and replication) are examined.…
Descriptors: Generalization, Influences, Research Problems, Sample Size
Cook, Colleen – 2000
Against an historical backdrop, this paper summarizes four uses of intraclass correlation of importance to contemporary researchers in the behavioral sciences. First, it shows how the intraclass correlation coefficient can be used to adjust confidence intervals for statistical significance testing when data are intracorrelated and the independence…
Descriptors: Association (Psychology), Behavioral Sciences, Correlation, Interrater Reliability

Besag, Frank P. – Urban Education, 1980
Discusses (1) the use of chi square significance tests in social science and educational literature; (2) chi square in relation to sample size; (3) field difficulties with chi square analysis as exemplified in Milwaukee County Juvenile Court data; and (4) alternative methods for using chi square in field research. (Author/GC)
Descriptors: Educational Research, Research Methodology, Sampling, Social Science Research
Shaver, James P. – 1980
The implications of data from a review of ten years of the American Educational Research Journal (AERJ) indicating that random sampling is rare and that there is increased use of quasi-experimental designs lacking in random assignment are considered. It is suggested that tests of significance could be abandoned or at least placed in a subsidiary…
Descriptors: Data Analysis, Educational Research, Graduate Study, Higher Education
Rosenthal, Robert – 1989
An overview of the state of the art in psychological research is presented, with an emphasis on the attention given to effect sizes. The acceptance of small effect sizes for biomedical research is contrasted with the rejection of similar effect sizes for psychological research. The Binomial Effect Size Display is used to depict the practical…
Descriptors: Effect Size, Mathematical Models, Meta Analysis, Psychological Studies

MacMillan, Donald L.; And Others – Exceptionality: A Research Journal, 1990
Arguing that reliable and valid dropout rate estimates are prerequisite to establishment of causal factors and intervention programs, this article examines differences in definitions of dropouts, computational methods, and the complexities in defining cohorts, as well as the importance of sample attrition. Several sources of error are discussed.…
Descriptors: Attrition (Research Studies), Definitions, Disabilities, Dropout Rate